Reinforcement learning promises a generic method for adapting agents to arbitrary tasks in arbitrary stochastic environments, but applying it to new real-world problems remains di...
As new attacks against Windows-based machines emerge almost on a daily basis, there is an increasing need to “lock down” individual users’ desktop machines in corporate comp...
Memory latency is an important bottleneck in system performance that cannot be adequately solved by hardware alone. Several promising software techniques have been shown to addres...
Mark Horowitz, Margaret Martonosi, Todd C. Mowry, ...
Animal ecologists have successfully applied agent-based models to many different problems. Often, these focus on issues concerning collective behaviors, environmental interactions...
Background: Candida albicans is a commonly encountered fungal pathogen in humans. The formation of biofilm is a major virulence factor in C. albicans pathogenesis and is related t...
Yu-Chao Wang, Chung-Yu Lan, Wen-Ping Hsieh, Luis A...